Stability control simulation of temperature sensor network with temperature difference fluctuation

With the large temperature differences, the temperature sensor network node will have fluctuations in the signal acquisition, resulting in the fast single random node energy consumption and the network instability. In this paper, the temperature signal acquisition method of the network is proposed based on sink node path selection algorithm; the based on temperature sensing network stability BTS protocol and transfer Markov chain model of the network is constructed. In the fluctuation environment, when the network node makes the abnormal energy variation, the deviation compensation is taken for the node; the new network communication path is stably ordered; and the temperature information acquisition is completed. The simulation results show that this new method has better performance in the temperature sensing and signal acquisition, and it can realise the non-uniform heat transfer. The stability communication is realised.

[1]  Bo Chen,et al.  A high computational power wireless sensor network for distributed structural health monitoring , 2012, Int. J. Sens. Networks.

[2]  Yang Xiao,et al.  A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks , 2006, Mob. Networks Appl..

[3]  Guo Xiao-ya Simulation and Analysis on Uncertain Attenuation Property of Underwater Acoustic Signal for Oil Field Pipe , 2014 .

[4]  Yang Xiao,et al.  Error Analysis and Kernel Density Approach of Scheduling Sleeping Nodes in Cluster-Based Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[5]  Jean-Denis Mathias,et al.  Energy-network performance trade-off in a slotted IEEE 802.15.4 network with acknowledged uplink transmissions , 2015, Int. J. Sens. Networks.

[6]  Yan Bin Research on Multi-channel IF Sampling Digital down Conversion Application Technology , 2013 .

[7]  Hyundong Shin,et al.  Robust Wireless Relay Networks: Slow Power Allocation With Guaranteed QoS , 2007, IEEE Journal of Selected Topics in Signal Processing.

[8]  Rachid Latif,et al.  A novel security approach for struggling black hole attack in optimised link state routing protocol , 2015, Int. J. Sens. Networks.

[9]  Yang Xiao,et al.  IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, PAPER ID: TPDS-0307-0605.R1 1 Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks , 2022 .

[10]  Ahmad Khademzadeh,et al.  VWCA: An efficient clustering algorithm in vehicular ad hoc networks , 2011, J. Netw. Comput. Appl..

[11]  Wessam Ajib,et al.  Energy-efficient power allocation algorithms for mobile wireless sensor networks , 2014, Int. J. Sens. Networks.